文献类型：期刊文献

英文题名：Watershed Allied Telemetry Experimental Research

作者：Li, Xin[1] Li, Xiaowen[4,5] Li, Zengyuan[2] Ma, Mingguo[1] Wang, Jian[1] Xiao, Qing[4] Liu, Qiang[4] Che, Tao[1] Chen, Erxue[2] Yan, Guangjian[5] Hu, Zeyong[1] Zhang, Lixin[5] Chu, Rongzhong[1] Su, Peixi[1] Liu, Qinhuo[4] Liu, Shaomin[5] Wang, Jindi[5] Niu, Zheng[4] Chen, Yan[3] Jin, Rui[1] Wang, Weizhen[1] Ran, Youhua[1] Xin, Xiaozhou[4] Ren, Huazhong[5]

第一作者：Li, Xin

通信作者：Li, X[1]

机构：[1]Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China;[2]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[3]Univ Elect Sci & Technol China, Sch Automat, Chengdu 610054, Peoples R China;[4]Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China;[5]Beijing Normal Univ, Sch Geog & Remote Sensing Sci, Beijing 100875, Peoples R China

年份：2009

卷号：114

期号：22

外文期刊名：JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

收录：;Scopus(收录号：2-s2.0-72049118429);WOS:【SCI-EXPANDED(收录号:WOS:000271996300001)】；

基金：Many teams contributed to WATER through their participation in POP and IOP. In total, 28 institutions and more than 280 scientists participated in the POP and IOP of WATER (see the Notation section). Without the hard work of many scientists, students, engineers, and aircrews in the field, WATER would have been impossible. The experiment is jointly supported by the CAS Action Plan for West Development Program (grant KZCX2-XB2-09) and Chinese State Key Basic Research Project (grant 2007CB714400). The Scientific Steering Committee members of WATER, Guodong Cheng, Daren Lu, Jingshan Jiang, Congbin Fu, Jiemin Wang, Yaqiu Jin, Ersi Kang, Renhua Zhang, Yongjian Ding, Jiancheng Shi, Shunlin Liang, Chuanrong Li, Toshio Koike, Massimo Menenti, Renguo Feng, Changqing Song, Tieqing Huang, and Tao Zhao provided invaluable comments and advice. Many satellite data were acquired free of charge from EAS, JAXA, and other space agencies. The ESA Envisat data were obtained through a grant in the Dragon II program (grant 5322), which is jointly supported by ESA and MOST. The JAXA ALOS data were provided by Takeo Tadono, Qinghua Ye, and Jiancheng Shi through cooperation between the Institute of Tibetan Plateau Research, CAS, and JAXA in JAXA's ALOS research announcement. The logistics issues of WATER were taken care of by Lanhong Zhong and Han Tang. The support from CMA Zhangye local office, Academy of Water Resources Conservation Forest in Qilian Mountains of Gansu Province, Zhangye Water Authority, the cooperation of the local government of Zhangye city, Gansu Province, and the Qilian county, Qinghai province, and the hospitality of the local people are warmly appreciated. Generous help in revising the paper was provided by the editors and reviewers.

语种：英文

摘要：The Watershed Allied Telemetry Experimental Research (WATER) is a simultaneous airborne, satellite-borne, and ground-based remote sensing experiment aiming to improve the observability, understanding, and predictability of hydrological and related ecological processes at a catchment scale. WATER consists of the cold region, forest, and arid region hydrological experiments as well as a hydrometeorology experiment and took place in the Heihe River Basin, a typical inland river basin in the northwest of China. The field campaigns have been completed, with an intensive observation period lasting from 7 March to 12 April, from 15 May to 22 July, and from 23 August to 5 September 2008: in total, 120 days. Twenty-five airborne missions were flown. Airborne sensors including microwave radiometers at L, K, and Ka bands, imaging spectrometer, thermal imager, CCD, and lidar were used. Various satellite data were collected. Ground measurements were carried out at four scales, that is, key experimental area, foci experimental area, experiment site, and elementary sampling plot, using ground-based remote sensing instruments, densified network of automatic meteorological stations, flux towers, and hydrological stations. On the basis of these measurements, the remote sensing retrieval models and algorithms of water cycle variables are to be developed or improved, and a catchment-scale land/hydrological data assimilation system is being developed. This paper reviews the background, scientific objectives, experiment design, filed campaign implementation, and current status of WATER. The analysis of the data will continue over the next 2 years, and limited revisits to the field are anticipated.